| 2025 | AISTATS | Disentangling Interactions and Dependencies in Feature Attributions. | Gunnar Knig, Eric Gnther, Ulrike von Luxburg |
| 2025 | COLT | How to safely discard features based on aggregate SHAP values. | Robi Bhattacharjee, Karolin Frohnapfel, Ulrike von Luxburg |
| 2025 | ICML | Position: Rethinking Explainable Machine Learning as Applied Statistics. | Sebastian Bordt, Eric Raidl, Ulrike von Luxburg |
| 2025 | ICML | How Much Can We Forget about Data Contamination? | Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike von Luxburg |
| 2023 | AISTATS | From Shapley Values to Generalized Additive Models and back. | Sebastian Bordt, Ulrike von Luxburg |
| 2023 | CVPR | The Manifold Hypothesis for Gradient-Based Explanations. | Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg |
| 2022 | AISTATS | A Bandit Model for Human-Machine Decision Making with Private Information and Opacity. | Sebastian Bordt, Ulrike von Luxburg |
| 2022 | AISTATS | Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. | Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg |
| 2021 | AISTATS | Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models. | Leena C. Vankadara, Sebastian Bordt, Ulrike von Luxburg, Debarghya Ghoshdastidar |
| 2020 | AISTATS | Explaining the Explainer: A First Theoretical Analysis of LIME. | Damien Garreau, Ulrike von Luxburg |
| 2020 | ICML | Too Relaxed to Be Fair. | Michael Lohaus, Michal Perrot, Ulrike von Luxburg |
| 2020 | ICML | NetGAN without GAN: From Random Walks to Low-Rank Approximations. | Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg |
| 2019 | IJCAI | Boosting for Comparison-Based Learning. | Michal Perrot, Ulrike von Luxburg |
| 2018 | ICML | Comparison-Based Random Forests. | Siavash Haghiri, Damien Garreau, Ulrike von Luxburg |
| 2017 | AISTATS | Comparison-Based Nearest Neighbor Search. | Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg |
| 2017 | COLT | Two-Sample Tests for Large Random Graphs Using Network Statistics. | Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier, Ulrike von Luxburg |
| 2015 | AISTATS | Dimensionality estimation without distances. | Matthus Kleindessner, Ulrike von Luxburg |
| 2014 | COLT | Density-preserving quantization with application to graph downsampling. | Morteza Alamgir, Gbor Lugosi, Ulrike von Luxburg |
| 2014 | COLT | Uniqueness of Ordinal Embedding. | Matthus Kleindessner, Ulrike von Luxburg |
| 2014 | ICML | The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation. | Sven Kurras, Ulrike von Luxburg, Gilles Blanchard |
| 2014 | ICML | Local Ordinal Embedding. | Yoshikazu Terada, Ulrike von Luxburg |
| 2012 | ICML | Shortest path distance in random k-nearest neighbor graphs. | Morteza Alamgir, Ulrike von Luxburg |
| 2011 | ICML | Risk-Based Generalizations of f-divergences. | Dario Garca-Garca, Ulrike von Luxburg, Ral Santos-Rodrguez |
| 2011 | ICML | Pruning nearest neighbor cluster trees. | Samory Kpotufe, Ulrike von Luxburg |
| 2010 | ICDM | Multi-agent Random Walks for Local Clustering on Graphs. | Morteza Alamgir, Ulrike von Luxburg |
| 2009 | KI | Generalized Clustering via Kernel Embeddings. | Stefanie Jegelka, Arthur Gretton, Bernhard Schlkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg |
| 2008 | COLT | Relating Clustering Stability to Properties of Cluster Boundaries. | Shai Ben-David, Ulrike von Luxburg |
| 2007 | ALT | Cluster Identification in Nearest-Neighbor Graphs. | Markus Maier, Matthias Hein, Ulrike von Luxburg |
| 2006 | COLT | A Sober Look at Clustering Stability. | Shai Ben-David, Ulrike von Luxburg, Dvid Pl |
| 2005 | COLT | From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians. | Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg |
| 2004 | COLT | On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. | Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin |
| 2003 | COLT | Distance-Based Classification with Lipschitz Functions. | Ulrike von Luxburg, Olivier Bousquet |